Industries
AI for manufacturing
On the shop floor, what counts is reacting earlier: before a weld drifts out of tolerance, before a machine stops, before a wrong part reaches assembly.
Catch the drift before the defect
One weld can still be in tolerance while the whole process drifts off course. Image analysis catches deviations, and forecasting buys time to correct them.
01 / 03
The image reveals deviations
In manufacturing, one weld can still be in tolerance while the whole process drifts off course. Image analysis catches deviations, and forecasting buys time to correct them.
02 / 03
Time to correct
We link results to the robot and workstation so the team knows where to act.
03 / 03
86% fewer defective parts
In this Sofixit deployment, the production of defective parts fell by eighty-six percent.
Film
Catch the drift before the defect
We link results to the robot and the workstation, so the team knows exactly where to act. In this deployment, production of defective parts fell by 86%.
Problems we solve on the shop floor
−86%
Quality found after the fact
Image analysis and forecasting warn before the process drifts out of tolerance. In welding: 86% fewer defective parts.
−40%
Unplanned downtime
Machine data processed in real time with predictive maintenance: 40% less line downtime and $1.2M a year saved on maintenance.
−63%
Wrong or missing parts in kits
Computer vision checks every kit against its configuration before assembly. Result: 63% fewer customer complaints.
15 min
Quotes that take hours
A GenAI agent collects requirements, costs and subcontractor offers; engineers approve. From 4-6 hours to 15 minutes.
Related case studies
86%
fewer defective parts
Weld quality AI: 86% fewer defective parts
Global automotive parts manufacturer
63%
fewer customer complaints
Kit inspection with computer vision: 63% fewer complaints
Global manufacturer of industrial equipment
15 min
per quote, down from 4 to 6 hours
GenAI quoting agent: from 4 to 6 hours to 15 minutes
Manufacturing company
Start with
Questions buyers ask
Do we need new cameras or sensors?
Often not. Our weld project used the microscope images and lab results the plant already collected. The assessment tells you what is missing, if anything.
Will it disrupt production?
No. Systems first run in shadow mode next to your people and go live only after they reach the agreed accuracy.
Can it run on-premise?
Yes. Plant data can stay in your infrastructure.
Let's talk about your project
Tell us about your case
Pick one problem.
Show us the data you have.
Let's agree a measurable goal.
Name the process and the data you have. An engineer, not a call centre, gets back to you.
We reply within one business day.